textNet

Elise Zufall; Tyler Scott

textNet

Elise Zufall (Developer)
, Tyler Scott (Developer)

University of California at Davis

Research output: Non-textual form › Software

Abstract

textNet is a set of tools in the R language that uses part-of-speech tagging and dependency parsing to generate semantic networks from text data. It is compatible with Universal Dependencies and has been tested on English-language text data.

Original language	American English
Media of output	Online
State	Published - Jun 2024
Externally published	Yes

Access to Document

https://github.com/ucd-cepb/textnetLicense: Other

Cite this

@misc{e9f2b76e14ea4534939e390723391f3a,

title = "textNet",

abstract = "textNet is a set of tools in the R language that uses part-of-speech tagging and dependency parsing to generate semantic networks from text data. It is compatible with Universal Dependencies and has been tested on English-language text data.",

author = "Elise Zufall and Tyler Scott",

year = "2024",

month = jun,

language = "American English",

}

TY - ADVS

T1 - textNet

A2 - Zufall, Elise

A2 - Scott, Tyler

PY - 2024/6

Y1 - 2024/6

N2 - textNet is a set of tools in the R language that uses part-of-speech tagging and dependency parsing to generate semantic networks from text data. It is compatible with Universal Dependencies and has been tested on English-language text data.

AB - textNet is a set of tools in the R language that uses part-of-speech tagging and dependency parsing to generate semantic networks from text data. It is compatible with Universal Dependencies and has been tested on English-language text data.

M3 - Software

ER -

textNet

Abstract

Access to Document

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Cite this